[2606.11058] The social consequences of AI delegation

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Physics > Physics and Society

arXiv:2606.11058 (physics)

[Submitted on 9 Jun 2026]

Title:The social consequences of AI delegation

Authors:Henrique Ferraz de Arruda, Yamir Moreno<br>View a PDF of the paper titled The social consequences of AI delegation, by Henrique Ferraz de Arruda and Yamir Moreno

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Abstract:A substantial body of recent work has debated whether large language models (LLMs) can serve as substitutes for human participants in behavioural research. This debate, however, captures only one direction of a rapidly changing relationship. The more consequential question is not simply whether researchers should use LLMs as human surrogates, but whether - and under what conditions - humans are beginning to use LLMs as surrogates for their own deliberation. Across domains including health, law, finance, education, and personal guidance, increasing numbers of people consult generative AI systems before, alongside, or instead of human experts, peers, or independent judgment. Although evidence for actual delegation remains uneven, this uncertainty makes the phenomenon an urgent social-scientific object of study. We argue for a research programme that treats LLMs as consequential social actors in a functional sense: systems whose outputs shape human decisions, social norms, and collective dynamics.

Comments:<br>10 pages, 1 figure

Subjects:

Physics and Society (physics.soc-ph)

Cite as:<br>arXiv:2606.11058 [physics.soc-ph]

(or<br>arXiv:2606.11058v1 [physics.soc-ph] for this version)

https://doi.org/10.48550/arXiv.2606.11058

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Yamir Moreno [view email]<br>[v1]<br>Tue, 9 Jun 2026 16:20:52 UTC (865 KB)

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